20 Mar

Updated H13-311_V3.5-ENU Exam Questions – Latest Study Materials for HCIA-AI V3.5 Exam Preparation

Get the updated H13-311_V3.5-ENU exam questions as your latest study materials for the HCIA-AI V3.5 exam preparation. We at HCDAtest have updated the H13-311_V3.5-ENU practice test with real questions and answers to ensure you can prepare well for your exam.

The updated Huawei H13-311_V3.5-ENU exam questions of HCDAtest are based on the latest exam objectives and content. With the latest study materials, you will be guaranteed to pass the actual HCIA-AI V3.5 exam successfully. We are here to have the H13-311_V3.5-ENU exam free online test, which will be the demo for checking the updated H13-311_V3.5-ENU exam questions.

1. Which of the following does the convolutional neural network structure not include?

Question 1 of 50

2. If a model has a large deviation on the test set and a small variance, it means that the model?

Question 2 of 50

3. In May 1997, the famous "Human-Machine Wars" final computer defeated Kasparov, the world chess king, with a total score of 3.5 to 2 5. is this computer called?

Question 3 of 50

4. Which of the following conditions is not a condition that n-fold bernoulli trials needs to meet?

Question 4 of 50

5. What people say about neural networks is wrong?

Question 5 of 50

6. What is the subject of artificial intelligence?

Question 6 of 50

7. Deflated AI The logical architecture of the processor does not include which of the following options?

Question 7 of 50

8. In the process of training the neural network, our goal is to keep the loss function reduced.
Which of the following methods do we usually use to minimize the loss function?

Question 8 of 50

9. Traffic agent can achieve () Hour full time/Global traffic awareness?

Question 9 of 50

10. In machine learning, what input the model needs to train itself and predict the unknown?

Question 10 of 50

11. The following is the correct difference between machine learning algorithms and traditional rule-based methods? (Multiple choice)

Question 11 of 50

12. The optimizer is an important part of training neural networks.
The purpose of using the optimizer does not include which of the following:

Question 12 of 50

13. There are a lot of data generated during the training of the neural network.
What mechanism does TensorFlow use to avoid excessive input data?

Question 13 of 50

14. Huawei's chip support HUAWEI HiAI Which module of?

Question 14 of 50

15. What are the scenarios or industries that are suitable for using Python? (Multiple Choice)

Question 15 of 50

16. In order for a machine to be intelligent, it must be knowledgeable. Therefore, there is a research field in artificial intelligence. which mainly studies how computers automatically acquire knowledge and skills to achieve self-impr011emenL
What is the branch of this research called?

Question 16 of 50

17. Which of the following descriptions about the Recurrent Neural Network (RNN) is correct?

Question 17 of 50

18. Which method is not supported in TensorFlow to define variables?

Question 18 of 50

19. In a convolutional neural network, different layers have different functions.
Which of the following layers can play the role of dimensionality reduction? (Multiple choice)

Question 19 of 50

20. After the data has completed the feature engineering operation, in the process of constructing the model, which of the following options is not a step in the decision tree construction process?

Question 20 of 50

21. What are the characteristics of Python code? (Multiple Choice)

Question 21 of 50

22. Which of the following is not included in the recurrent neural network usage scenario?

Question 22 of 50

23. Among machine learning algorithms, which of the following is not unsupervised learning?

Question 23 of 50

24. Which of the following options is not the- session mode used by Tensorflow?

Question 24 of 50

25. Pytorch Which company launched it first?

Question 25 of 50

26. What does factors that promote the development of artificial intelligence not include?

Question 26 of 50

27. When the voice recognition service is successfully called, which field is the recognition result stored in?

Question 27 of 50

28. What are the commonly used activation functions? (Multiple Choice)

Question 28 of 50

29. What is wrong description of the Python module?

Question 29 of 50

30. Python Which of the following functions does not have?

Question 30 of 50

31. The activation function plays an important role in the neural network model learning and understanding of very complex problems. The following statement about the activation function is correct.

Question 31 of 50

32. TensorFlow Which of the following companies first developed?

Question 32 of 50

33. Which of the following options is not the Tensorflow build process?

Question 33 of 50

34. Which of the following does not belong to long-term memory LSTM (long Short·Term Memory) network architecture?

Question 34 of 50

35. The following code was used when compiling the model: model.compile(optimizer='Adam,loss='categorical.crossentropy',metrics=[tf.keras.metrics.accuracy]), currently using evaluate
When the method evaluates the model, which of the following indicators will be output? (Multiple choice)

Question 35 of 50

36. GBDT Compared with the random forest algorithm, which of the following statements is wrong?

Question 36 of 50

37. Huawei Machine learning Service MLS MLS is a one-stop platform that supports the entire process of data analysis.
Which of the following is not a feature of MLS?

Question 37 of 50

38. In the process of training the neural network, we use the gradient descent method to continuously update which value, which makes the loss Function minimization?

Question 38 of 50

39. Which of the following options is not central to linear algebra?

Question 39 of 50

40. Which of the following is not the difference between Python 2 and Python 3?

Question 40 of 50

41. Faced with the challenge of achieving efficient distributed training for ultra-large-scale models, MindSpore is handled as?

Question 41 of 50

42. Functions are well-organized, non-reusable code segments used to implement a single, or associated Function.

Question 42 of 50

43. The image data of the passport recognition service is not needed base64 Coded.

Question 43 of 50

44. The loss function of logistic regression is the cross-entropy loss function.

Question 44 of 50

45. It is fine to pass in only one image when calling the face comparison service.

Question 45 of 50

46. TensorFlow only supports Python and R language

Question 46 of 50

47. The naive Bayes algorithm does not require independent and identical distribution among sample features.

Question 47 of 50

48. HUAWEI HiAI Engine Can easily combine multiple AI Ability and App integrated.

Question 48 of 50

49. Machine Learning Service is a data mining and analytics platform service that helps users quickly discover data patterns and build predictive models through machine learning techniques and deploy them as predictive analytics solutions

Question 49 of 50

50. In the face search service, if we want to delete a certain face set, we can use this code: firs_cliet.get_v2().get_face_set_service().delete_face_set("**"), among them "**" is to fill in the actual face set name.

Question 50 of 50


 

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